Kenza聽Bouzid
Senior Applied Researcher at Microsoft
Cambridge, England, United Kingdom
Summary
馃ぉ
Rockstar馃帗
Top SchoolKenza Bouzid is a Senior Applied Researcher based in Cambridge with eight years of experience translating machine learning research into health-focused applications at Microsoft Research. Holding dual MEng degrees in Machine Learning (KTH) and Computer Science (INSA Lyon), she has progressed from research roles to senior applied research leadership within Microsoft鈥檚 Health Futures efforts. Her background blends academic rigor with practical internships and consulting across Europe, including award-winning hackathon work at Google and data science experience at Incepto. Kenza is adept at bridging prototype research and production-ready solutions, often working at the intersection of clinical needs and ML innovation. Colleagues describe her as a researcher who pairs deep technical skills with an entrepreneurial drive to ship impactful healthcare technologies.
8 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng Machine learning, Master of Engineering - MEng Machine learning at KTH Royal Institute of TechnologyMaster of Engineering - MEng Computer Science and Informational Technology, Master of Engineering - MEng Computer Science and Informational Technology at INSA Lyon - Institut National des Sciences Appliqu茅es de Lyon
English, French, Arabic, Spanish, Swedish
Stackoverflow
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0reached
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Github Skills (65)
transformers10
python10
mlops10
deep-learning10
gemma10
glm10
multimodal10
ml10
audio10
ai10
transformer10
azure10
nlp10
medical-image-processing10
natural-language-processing10
Programming languages (6)
Github contributions (5)
microsoft/RadFact
Jul 2024 - Jan 2026
A metric suite leveraging the logical inference capabilities of LLMs, for radiology report generation both with and without grounding
Contributions:3 reviews, 4 PRs, 3 pushes in 1 year 6 months
inference
KenzaB27/ann_labs
Jan 2021 - Mar 2021
Contributions:64 commits in 1 month
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